{"schemaVersion":"jobsearcher.job.v1","id":"1b77cdf81f07b2a87f1d9e9f","url":"https://jobsearcher.com/jobs/1b77cdf81f07b2a87f1d9e9f","canonicalUrl":"https://jobsearcher.com/jobs/1b77cdf81f07b2a87f1d9e9f","title":"Data Analyst V – Operational Data Science","description":"Job Summary:\nThe Enterprise Operational Analytics team resides within the Florida Blue's Enterprise Operations (EO). Enterprise Operational Intelligence Analytics team members provide analytical and operational support to the core processes of EO; act as consultants and analytical support for the Enterprise; engage with Information Technology (IT) to define, prototype and operationalize business solutions. The Specialist V conducts statistical analysis and research on key business processes and operations at the business' request. Responsibilities will include building strong relationships with internal customers, developing custom reporting, metrics and key performance indicators integrating data from many sources, ensuring understanding and correct application of analysis and delivering presentations used to guide high-value decisions.\nEssential Functions:\nThe essential functions listed represent the major duties of this role, additional duties may be assigned.\nWrites advanced programs for data extraction using SQL; joins multiple tables together, uses complex subqueries and aggregates data to eliminate the need for manual manipulation.\nReverse-engineers existing programs in order to understand and document the rules behind data extraction.\nMakes use of advanced SAS, R, Python or related programming skills to manipulate and analyze very large datasets, prototype complex operational reports, run simulations and/or statistical analysis, and turn Big Data into business-consumable metrics.\nProactively seeks training and builds knowledge/experience of tools, languages and data sources.\nAnalyzes data and applies advanced statistical tools and techniques to derive insights and identify areas of opportunity.\nProduces advanced spreadsheets, documents and presentations that are easy to follow (e.g. Excel and PowerPoint).\nInitiates and participates in the peer reviewing of work to ensure the quality of deliverables; leads peer review sessions for major deliverables.\nServes as a resource and subject matter expert for one or more datasources within the Health Business; is able to provide advice and guidance on the proper use of data.\nProvides guidance and mentorship to other team members.\nAssists in the analysis, mapping and documentation of processes and programs in achieving stated goals. Provides recommendations if corrections are needed.\nEngages in long-term mentorship and development of other team members as required.\nCommunicates effectively with internal customers and business partners; able to present and communicate analysis results to the business.\n\nRequired Experience:\n4+ years related work experience. Experience Details:\nRelated Bachelor’s degree or additional related equivalent work experience\nStrong analytical and critical thinking skills. Bachelor's degree required; Master's degree preferred. Experience working with and applying statistical methods and tools. Extensive experience writing SQL, SAS, R or related code. Previous experience teaching, mentoring or coaching analytical resources. Proficient with Microsoft Office products. Ability to manage tasks independently, take ownership of responsibilities and meet deadlines. Strong written and oral communication skills.\nPreferred Qualifications:\nApplied experience with predictive or statistical modeling techniques (regression, classification, forecasting) in a business setting.\nExperience with a visual analytics tool such as Tableau or Microsoft PowerBI.\nExposure to machine learning concepts or techniques, even in an academic, coursework, or early-career capacity.\nInterest in growing into more advanced modeling and predictive analytics work as part of long-term role development.\nBachelor's degree in Business Analytics, Health Economics, Statistics, Engineering, Mathematics, Computer Science, Data Science or related field. Master's degree in a related field.\n\nGeneral Physical Demands:\nSedentary work: Exerting up to 10 pounds of force occasionally to move objects. Jobs are sedentary if traversing activities are required only occasionally.\n\nWhat We Offer:\nAs a Florida Blue employee, you will be at the heart of GuideWell’s vision – to lead the nation in transforming health through compassionate, connected, and technology-enabled care that delivers personalized value and empowered living.\n\nTo support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to:\n\nMedical, dental, vision, life and global travel health insurance;\nIncome protection benefits: life insurance, short- and long-term disability programs;\nLeave programs to support personal circumstances;\nRetirement Savings Plan including employer match;\nPaid time off, volunteer time off, 10 holidays and 2 well-being days;\nAdditional voluntary benefits available; and\nA comprehensive wellness program\n\nEmployee benefits are designed to align with federal and state employment laws. Benefits may vary based on the state in which work is performed. Benefits for intern, part-time and seasonal employees may differ.\n\nTo support your financial wellbeing, we offer competitive pay as well as opportunities for incentive or commission compensation. We also conduct regular annual reviews with pay for performance considerations for base pay increases.\n\nAnnualized Salary Range: $84,500 - $137,300\n\nTypical Annualized Hiring Range: $84,500 - $105,600\n\nFinal pay will be determined with consideration of market competitiveness, internal equity, and the job-related knowledge, skills, training, and experience you bring.\n\nWe are an Equal Employment Opportunity employer committed to cultivating a work experience where everyone feels like they belong and can perform at their best in pursuit of our mission. All qualified applicants will receive consideration for employment.","company":"Floridablue","rawCompany":"floridablue","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T13:44:18.567Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"923120","title":"Administration of Public Health Programs","slug":"administration-of-public-health-programs"},{"code":"622110","title":"General Medical and Surgical Hospitals","slug":"general-medical-and-surgical-hospitals"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analyst V – Operational Data Science","description":"Job Summary:\nThe Enterprise Operational Analytics team resides within the Florida Blue's Enterprise Operations (EO). Enterprise Operational Intelligence Analytics team members provide analytical and operational support to the core processes of EO; act as consultants and analytical support for the Enterprise; engage with Information Technology (IT) to define, prototype and operationalize business solutions. The Specialist V conducts statistical analysis and research on key business processes and operations at the business' request. Responsibilities will include building strong relationships with internal customers, developing custom reporting, metrics and key performance indicators integrating data from many sources, ensuring understanding and correct application of analysis and delivering presentations used to guide high-value decisions.\nEssential Functions:\nThe essential functions listed represent the major duties of this role, additional duties may be assigned.\nWrites advanced programs for data extraction using SQL; joins multiple tables together, uses complex subqueries and aggregates data to eliminate the need for manual manipulation.\nReverse-engineers existing programs in order to understand and document the rules behind data extraction.\nMakes use of advanced SAS, R, Python or related programming skills to manipulate and analyze very large datasets, prototype complex operational reports, run simulations and/or statistical analysis, and turn Big Data into business-consumable metrics.\nProactively seeks training and builds knowledge/experience of tools, languages and data sources.\nAnalyzes data and applies advanced statistical tools and techniques to derive insights and identify areas of opportunity.\nProduces advanced spreadsheets, documents and presentations that are easy to follow (e.g. Excel and PowerPoint).\nInitiates and participates in the peer reviewing of work to ensure the quality of deliverables; leads peer review sessions for major deliverables.\nServes as a resource and subject matter expert for one or more datasources within the Health Business; is able to provide advice and guidance on the proper use of data.\nProvides guidance and mentorship to other team members.\nAssists in the analysis, mapping and documentation of processes and programs in achieving stated goals. Provides recommendations if corrections are needed.\nEngages in long-term mentorship and development of other team members as required.\nCommunicates effectively with internal customers and business partners; able to present and communicate analysis results to the business.\n\nRequired Experience:\n4+ years related work experience. Experience Details:\nRelated Bachelor’s degree or additional related equivalent work experience\nStrong analytical and critical thinking skills. Bachelor's degree required; Master's degree preferred. Experience working with and applying statistical methods and tools. Extensive experience writing SQL, SAS, R or related code. Previous experience teaching, mentoring or coaching analytical resources. Proficient with Microsoft Office products. Ability to manage tasks independently, take ownership of responsibilities and meet deadlines. Strong written and oral communication skills.\nPreferred Qualifications:\nApplied experience with predictive or statistical modeling techniques (regression, classification, forecasting) in a business setting.\nExperience with a visual analytics tool such as Tableau or Microsoft PowerBI.\nExposure to machine learning concepts or techniques, even in an academic, coursework, or early-career capacity.\nInterest in growing into more advanced modeling and predictive analytics work as part of long-term role development.\nBachelor's degree in Business Analytics, Health Economics, Statistics, Engineering, Mathematics, Computer Science, Data Science or related field. Master's degree in a related field.\n\nGeneral Physical Demands:\nSedentary work: Exerting up to 10 pounds of force occasionally to move objects. Jobs are sedentary if traversing activities are required only occasionally.\n\nWhat We Offer:\nAs a Florida Blue employee, you will be at the heart of GuideWell’s vision – to lead the nation in transforming health through compassionate, connected, and technology-enabled care that delivers personalized value and empowered living.\n\nTo support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to:\n\nMedical, dental, vision, life and global travel health insurance;\nIncome protection benefits: life insurance, short- and long-term disability programs;\nLeave programs to support personal circumstances;\nRetirement Savings Plan including employer match;\nPaid time off, volunteer time off, 10 holidays and 2 well-being days;\nAdditional voluntary benefits available; and\nA comprehensive wellness program\n\nEmployee benefits are designed to align with federal and state employment laws. Benefits may vary based on the state in which work is performed. Benefits for intern, part-time and seasonal employees may differ.\n\nTo support your financial wellbeing, we offer competitive pay as well as opportunities for incentive or commission compensation. We also conduct regular annual reviews with pay for performance considerations for base pay increases.\n\nAnnualized Salary Range: $84,500 - $137,300\n\nTypical Annualized Hiring Range: $84,500 - $105,600\n\nFinal pay will be determined with consideration of market competitiveness, internal equity, and the job-related knowledge, skills, training, and experience you bring.\n\nWe are an Equal Employment Opportunity employer committed to cultivating a work experience where everyone feels like they belong and can perform at their best in pursuit of our mission. All qualified applicants will receive consideration for employment.","datePosted":"2026-08-15T13:44:18.567Z","dateModified":"2026-08-15T13:44:18.567Z","hiringOrganization":{"@type":"Organization","name":"Floridablue","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1b77cdf81f07b2a87f1d9e9f"},"url":"https://jobsearcher.com/jobs/1b77cdf81f07b2a87f1d9e9f"}}